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Process Systems Engineering: Multi-Parametric Model-Based Control : Theory...

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN
9783527316922
EAN
9783527316922
Book Title
Multi-Parametric Model-Based Control : Theory and Applications
Item Length
9.8in
Publisher
Wiley & Sons, Incorporated, John
Publication Year
2007
Format
Hardcover
Language
English
Item Height
0.8in
Author
Michael C. Georgiadis
Genre
Technology & Engineering
Topic
Automation, Chemical & Biochemical
Item Width
7.1in
Item Weight
23.3 Oz
Number of Pages
275 Pages

About this product

Product Information

This volume presents recent exciting developments for the solution of model based predictive control problems by multiparametric programming algorithms and tools, described in volume 1 of this series. Model based predictive control (MPC) is the advanced control technology of choice in process systems applications, for on-line control and real-time optimization. It relies in the computation of the optimal control input actions by repeteadly solving on-line and open or closed loop optimal control problem at the time instant when a state measurement or estimation becomes available. However, the capabilities of this technology are restricted mainly by the often extensive and computationally demanding on-line calculations, which make MPC mostly suitable for large-scale, expensive and slowly-varying systems. This book describes in detail how these shortcomings can be effcetively overcome by employing the novel multi-parametric programming theory and algorithms of volume 1, for a wide range of MPC problems, including hybrid and robust control. The book is intended for academics, researchers and control practitioners who are involved on contemporary control studies, the design and implementation of control strategies, and the development of control hardware for embedded systems applications, as well as for educational purposes both in academia and industry. The Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management of complexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
3527316922
ISBN-13
9783527316922
eBay Product ID (ePID)
57021547

Product Key Features

Book Title
Multi-Parametric Model-Based Control : Theory and Applications
Author
Michael C. Georgiadis
Format
Hardcover
Language
English
Topic
Automation, Chemical & Biochemical
Publication Year
2007
Genre
Technology & Engineering
Number of Pages
275 Pages

Dimensions

Item Length
9.8in
Item Height
0.8in
Item Width
7.1in
Item Weight
23.3 Oz

Additional Product Features

Series Volume Number
2
Lc Classification Number
Tj213
Table of Content
PART I: THEORY Linear Model Predictive Control via Multi-Parametric Programming Hybrid Parametric Model Based Control Robust Parametric Model-Based Control Parametric Dynamic Optimization ConiParametric Model Based Control PART II: APPLICATIONS Integration of Design and Control Model Based Control of Blood Glucose for Type 1 Diabetes Control of Anaesthesia Model based Control of a Pilot Plant Reactor MPC on a Chip
Copyright Date
2007
Intended Audience
Trade
Series
Process Systems Engineering Ser.
Illustrated
Yes

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